Cloud Engineer III, AI/ML, Google Cloud jobs in United States
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Google · 1 day ago

Cloud Engineer III, AI/ML, Google Cloud

Google is a leading technology company, and they are seeking a Cloud AI Engineer to design and implement machine learning solutions for customer use cases. The role involves working with customers to identify opportunities for machine learning applications and providing architecture guidance and best practices for Google Cloud products.

AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Act as a trusted technical advisor to customers and solve machine learning issues
Coach customers on the practical issues in machine learning systems like feature extraction and feature definition, data validation, monitoring, and management of features and models
Work with customers, partners, and Google product teams to deliver tailored solutions into production
Create and deliver best practice recommendations, tutorials, blog articles, and sample code
Travel up to 30% within the region for meetings, technical reviews, and onsite delivery activities

Qualification

Machine Learning SolutionsCloud Enterprise SolutionsDeep Learning FrameworksGeneral Purpose LanguagesData Warehousing ConceptsSoft Skills

Required

Bachelor's degree in Computer Science or equivalent practical experience
8 years of experience building machine learning solutions and working with technical customers
Experience designing cloud enterprise solutions and supporting customer projects to completion
Experience in one or more discipline areas: machine learning, recommendation systems, natural language processing, computer vision, pattern recognition, agentic workflows, genAI, or artificial intelligence
Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design

Preferred

Experience working with recommendation engines, data pipelines, or distributed machine learning
Experience with deep learning frameworks (e.g. Tensor Flow, pyTorch, XGBoost)
Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume)
Understanding of the auxiliary practical concerns in production machine learning systems

Benefits

Bonus
Equity
Benefits

Company

Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.

H1B Sponsorship

Google has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)

Funding

Current Stage
Public Company
Total Funding
$26.1M
Key Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M

Leadership Team

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Sundar Pichai
CEO
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Thomas Kurian
CEO - Google Cloud
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Company data provided by crunchbase